Aurora LMS
Kindle Academy's LMS was falling over at exam time. We rebuilt it as one platform for 80,000 students.
FROM BRIEF TO PRODUCTION
Full-Stack Product Engineering & Ongoing Software Maintenance
You know what the product should do. We turn that into a frontend, a backend, a data model and a way to ship updates, then keep it healthy after launch with maintenance, SLAs and code ownership.
The people on the call write the architecture and the code
You own the repository, the infrastructure and the IP from day one
Continuous maintenance, SLAs and a release cadence after launch
HOW WE BUILD THIS
A product that can take real use, not a demo that falls over
Pretty screens are not the product. We build typed APIs, a data model that matches the work, and a deploy path that does not need a hero weekend when you change something.
What this looks like in the codebase
After the workflow is clear, we lock the technical choices that keep the product maintainable. These are the ones we use here:
- Type-safe contracts across API and frontend layers (TypeScript, gRPC, GraphQL)
- Relational and document data modeling optimized for write throughput and read indexing
- Automated deployment pipelines with zero-downtime blue/green rollout strategies
- Comprehensive observability with distributed tracing and proactive alerting
- Ongoing maintenance: support SLAs, dependency patching, uptime monitoring and a release cadence your team controls
Stack we ship with
Chosen because we have run it in production, not because it is fashionable.
TypeScriptNext.jsReact NativeNode.jsGoPythonPostgreSQLRedisAWS / GCPDocker
WHAT YOU GET
The work inside this service
From the first data model to a production deploy. Here is what we hand over.
01 / PRODUCT ENGINEERING & MAINTENANCE
Custom Web Application Engineering
Web apps for the daily workflow, not a brochure. Server-rendered where it helps, live where the work is live.
- Next.js and React full-stack web applications
- Real-time WebSocket data feeds and live dashboards
- Granular role-based permissions and audit trails
- WCAG 2.1 AA accessibility and sub-second load times
02 / PRODUCT ENGINEERING & MAINTENANCE
Cross-Platform Mobile Development
iOS and Android from one codebase when that is the right call. Offline use, push, and store releases included.
- iOS and Android universal codebases
- Offline sync engines with SQLite and local storage
- Biometric authentication and native device hardware APIs
- Automated release pipelines for App Store and Google Play
03 / PRODUCT ENGINEERING & MAINTENANCE
Resilient API & Backend Architecture
APIs and workers that stay fast when the dashboard is open all day. Queues for the slow jobs. Tests before we call it done.
- RESTful and GraphQL API gateway design
- Background worker queues (Temporal, BullMQ, Celery)
- Database connection pooling and read replica routing
- End-to-end integration and automated load testing
WHY THIS HOLDS UP
A call we made in production
Video for a learning product without a huge origin bill
A CALL WE MADE IN PRODUCTION
Video for a learning product without a huge origin bill
When engineering the video-on-demand infrastructure for our learning platform clients, we avoided brittle monolithic transcoding. Instead, uploads stream directly to Cloudflare R2 via presigned URLs, triggering asynchronous GPU-accelerated transcoding workers that output multi-bitrate HLS streams. Chunk manifests are distributed through a globally cached CDN edge with tokenized HMAC authorization, reducing origin egress costs by 84% while maintaining sub-second start times.
WHAT CHANGED
View all case studies Products we built this way
Atlas Academy
Executives were losing work on flights. We built a mobile academy app that keeps lessons and reviews when the network drops.
Northbeam Ops
Dispatchers were refreshing a 50-column spreadsheet while 350 trucks pinged GPS. We built a live dispatch board that keeps up.
FREQUENTLY ASKED QUESTIONS
Questions before you write to us
The people on the first call write the architecture and the code. You get repository access from day one, a staging URL, and a demo every two weeks.
Yes. We read the codebase, the data model and how it fails in production. Then we propose a path: fix the blocker, or replace parts over time. A full rewrite is not the default.
We write a first scope so you know what is in. When something new shows up, we price and schedule it before we build it.
A named team stays on your product: uptime and error monitoring with SLAs, dependency and security patching on a schedule, and small improvements shipped on a release cadence you control. You can pause or take it in-house whenever you own the skills.
Yes. We start with a read of the codebase, the data model and how it fails in production, then agree an SLA and a backlog: fix the blockers first, then steady maintenance. A rewrite is not the default.
Ready to turn this into a product? Tell us what you need.